Using observational data to aggregate evidence of clinical efficacy with information on medical costs
Andrew Spieker PhD Vanderbilt University Medical Center
Treatment cost and clinical effectiveness play large roles in helping shape health policy decisions. Owing to the impractical nature of randomized trials in many settings, cost-effectiveness analyses are often performed using data from observational studies and electronic medical records. Challenges such as censoring and confounding pose barriers to easy interpretation and must therefore be addressed. In this talk, we will present a causal framework to cost-effectiveness analysis, together with an easy-to-interpret visual tool for elucidating the proportion of people who can expect to benefit from an intervention at various willingness-to-pay thresholds. Finally, we discuss ways to handle time-dependent treatment and confounding, and the importance of doing so to make meaningful population-level policy decisions
2525 West End Ave., Large Biostatistics Conf. Rm.11105 30 January 2019 1:30pm